Privacy Analyst

The Privacy team at Coinbase is seeking a Privacy Analyst to manage and respond to privacy incidents effectively. This role requires strong incident management skills, proven experience in privacy, security, and related fields, and proficiency in SQL, Python, and data analysis tools.

Responsibilities

• Own the end-to-end Privacy Incident Management program, including notification workflows, escalation paths, process documentation, responder enablement, and automation opportunities.
• Lead privacy incident response as the DRI and Incident Commander, coordinating across Privacy, Privacy Legal, CSIRT, Product, Engineering, and Communications to drive analysis, remediation, and follow-through.
• Maintain on-call readiness to support privacy incident triage, severity classification, and urgent escalations, ensuring incidents are correctly assessed and routed.
• Drive privacy incident retrospectives, track resulting remediation items and control gaps, and deliver incident metrics and reporting covering trends, remediation status, and process health.
• Build and maintain strong cross-functional and cross-geography stakeholder relationships to improve readiness, response quality, and business accountability.
• Support broader Privacy initiatives during lower-volume periods, including cross-functional efforts, tooling development, and automation projects.

Required Skills and Experience

• 3+ years of experience in privacy, security, incident response, technology risk, or a related operational risk function, including direct experience leading or supporting incident, issue, or risk workflows requiring structured analysis, documentation, and cross-functional coordination.
• Strong incident management skills with experience communicating privacy risk and incident findings to both technical and non-technical audiences, including producing written incident analyses, retrospective documentation, and executive-level summaries.
• Proven track record of leading technical investigations within cloud-native architectures, with hands-on proficiency in SQL, Python, and data analysis tools (e.g., Postgres, MongoDB, Airflow, Looker, Snowflake).
• Demonstrated experience building automation to reduce manual operational tasks and improve incident response efficiency.
• Working knowledge of privacy regulations and frameworks (e.g., GDPR, CCPA, PIPEDA, ePrivacy, DPIAs/PIAs, ROPA, data subject rights) and data subject rights, privacy controls, and privacy issue management. Utilizes and builds generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.